NVIDIAHiring

Principal Architect, AI Networking

  • USD 272,000 to 431,250 per year
  • Remote, United States
  • Lead
  • Posted 5 days ago
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In one line

Principal architect role on an applied research team, setting the technical direction for how large AI systems move data between GPUs, nodes and storage.

About the role

Research group of a networking systems and software architecture organisation, with a charter that reaches into quantum interconnects. Success means original published work that turns into software shipped in production AI stacks.

At a glance

Pay
USD 272,000 to 431,250 per year
Remote scope
Remote, United States
Seniority
Lead
Skills
RDMA, NVLink, GPUDirect, InfiniBand, RoCE, NCCL, UCX
Posted
30 Oct 2026
Last checked
2 Nov 2026

What you will do

  • Run original research and build prototypes of next-generation networking over RDMA, NVLink and GPUDirect.
  • Drive hardware and software co-optimisation with GPU, DPU, NIC and switch teams.
  • Study bottlenecks in communication runtimes for large AI workloads, including KV cache transfer and disaggregated prefill/decode.

What they look for

  • 15+ years in systems software or networking, with deep high-performance networking knowledge (InfiniBand, RoCE, RDMA, NVLink).
  • Hands-on with communication libraries such as NCCL, UCX, MPI, NVSHMEM or NIXL, and with GPU accelerated systems.
  • Proficiency in C, C++, Rust and Python, with a record of taking cross-team initiatives from research to production.

Nice to have

  • CUDA programming and GPU architecture knowledge, plus major open-source contributions.

Benefits

  • Competitive salary with equity and a benefits package.
  • Base salary range of 272,000 USD to 431,250 USD, set by location and experience.

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Questions about this job

Is this a remote job, and where can I work from?

Yes, it is listed as remote, aimed at candidates in the United States.

What does this job pay?

The posting states USD 272,000 to 431,250 per year.

What experience is needed?

It is a lead role. The posting asks for: 15+ years in systems software or networking, with deep high-performance networking knowledge (InfiniBand, RoCE, RDMA, NVLink); hands-on with communication libraries such as NCCL, UCX, MPI, NVSHMEM or NIXL, and with GPU accelerated systems; proficiency in C, C++, Rust and Python, with a record of taking cross-team initiatives from research to production. Skills it names include RDMA, NVLink, GPUDirect, InfiniBand.

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